{"title":"新兴和稀有实体的上下文敏感识别","authors":"J. Williams, Giovanni C. Santia","doi":"10.18653/v1/W17-4423","DOIUrl":null,"url":null,"abstract":"This paper is a shared task system description for the 2017 W-NUT shared task on Rare and Emerging Named Entities. Our paper describes the development and application of a novel algorithm for named entity recognition that relies only on the contexts of word forms. A comparison against the other submitted systems is provided.","PeriodicalId":207795,"journal":{"name":"NUT@EMNLP","volume":"170 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Context-Sensitive Recognition for Emerging and Rare Entities\",\"authors\":\"J. Williams, Giovanni C. Santia\",\"doi\":\"10.18653/v1/W17-4423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is a shared task system description for the 2017 W-NUT shared task on Rare and Emerging Named Entities. Our paper describes the development and application of a novel algorithm for named entity recognition that relies only on the contexts of word forms. A comparison against the other submitted systems is provided.\",\"PeriodicalId\":207795,\"journal\":{\"name\":\"NUT@EMNLP\",\"volume\":\"170 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NUT@EMNLP\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/W17-4423\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NUT@EMNLP","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W17-4423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Context-Sensitive Recognition for Emerging and Rare Entities
This paper is a shared task system description for the 2017 W-NUT shared task on Rare and Emerging Named Entities. Our paper describes the development and application of a novel algorithm for named entity recognition that relies only on the contexts of word forms. A comparison against the other submitted systems is provided.